What's New

Last Posted: May 20, 2019

• Asthma severity, nature or nurture: genetic determinants.
  Raby Benjamin A et al. Current opinion in pediatrics 2019 Jun (3) 340-348
• Connected Health Technology for Cardiovascular Disease Prevention and Management.
  Wongvibulsin Shannon et al. Current treatment options in cardiovascular medicine 2019 May (6) 29
• Seven-point genetic testing may identify more patients with FH
  Healio Cardiology, May 18, 2019
• Using Genetics to Plan Future Randomized Trials of Lipoprotein(a) Lowering-How Much Reduction, for How Long, and in Whom?
  Thanassoulis George et al. JAMA cardiology 2019 Apr
• Cystic Fibrosis Patients Turn to Experimental Phage Therapy
  A Ellin, NY Times, May 17, 2019
• A prediction model of blood pressure for telemedicine.
  Kwong Enid Wai-Yung et al. Health informatics journal 2018 24(3) 227-244
• Are digital interventions for smoking cessation in pregnancy effective? A systematic review and meta-analysis.
  Griffiths Sarah Ellen et al. Health psychology review 2018 12(4) 333-356
• Association between a Genetic Risk Score Based on Single Nucleotide Polymorphisms of Coronary Artery Disease-Related Genes and Left Main Coronary Artery Disease.
  Xu Zhengxi et al. BioMed research international 2018 20188610368
• Automated deep-neural-network surveillance of cranial images for acute neurologic events.
  Titano Joseph J et al. Nature medicine 2018 24(9) 1337-1341
• B 2 adrenergic receptor gene polymorphism effect on childhood asthma severity and response to treatment.
  Alghobashy Ashgan Abdallah et al. Pediatric research 2018 83(3) 597-605
• Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
  Hannun Awni Y et al. Nature medicine 2019 25(1) 65-69
• Interventional study to improve diabetic guidelines adherence using mobile health (m-Health) technology in Lahore, Pakistan.
  Hashmi Noreen Rahat et al. BMJ open 2018 8(5) e020094
• Is smoking heaviness causally associated with alcohol use? A Mendelian randomization study in four European cohorts.
  Taylor Michelle et al. International journal of epidemiology 2018 47(4) 1098-1105
• Mobile health intervention for youth with sickle cell disease: Impact on adherence, disease knowledge, and quality of life.
  Anderson Lindsay M et al. Pediatric blood & cancer 2018 65(8) e27081
• Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.
  Attia Zachi I et al. Nature medicine 2019 25(1) 70-74
• Using Artificial Intelligence in an Intelligent Way to Improve Efficiency of a Heart Failure Care Team.
  Weber Griffin M et al. Journal of cardiac failure 2018 24(6) 363-364
• LDL-C goal achievement in patients with familial hypercholesterolaemia in countries outside Western Europe: The International ChoLesterol management Practice Study (ICLPS)
  Blom DJ, et al. Journal of Clinical Lipidology. May 14, 2019
• A clinical, proteomics, and artificial intelligence-driven model to predict acute kidney injury in patients undergoing coronary angiography.
  Ibrahim Nasrien E et al. Clinical cardiology 2019 Feb 42(2) 292-298
• Development of a Genetic Score to Predict an Increase in HDL Cholesterol Concentration After a Dietary Intervention in Adults with Metabolic Syndrome.
  Guevara-Cruz Martha et al. The Journal of nutrition 2019 May
• Lifestyle and cancer incidence and mortality risk depending on family history of cancer in two prospective cohorts.
  Drake Isabel et al. International journal of cancer 2019 May